<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20201208</CreaDate>
        <CreaTime>16072500</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>TRUE</SyncOnce>
        <DataProperties/>
        <scaleRange>
            <minScale>150000000</minScale>
            <maxScale>5000</maxScale>
        </scaleRange>
    </Esri>
    <dataIdInfo>
        <idPurp>Different types of Restaurants</idPurp>
        <idCitation>
            <resTitle>Restaurants</resTitle>
        </idCitation>
        <searchKeys>
            <keyword>Restaurants</keyword>
            <keyword>Types</keyword>
            <keyword>Price</keyword>
            <keyword>Takeout</keyword>
            <keyword>Drive Through</keyword>
            <keyword>Food</keyword>
        </searchKeys>
        <idAbs/>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <mdHrLv>
        <ScopeCd value="005"/>
    </mdHrLv>
    <mdDateSt Sync="TRUE">20201208</mdDateSt>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
        </Thumbnail>
    </Binary>
</metadata>